deep-learning-with-python-notebooks - Jupyter notebooks for the code samples of the book "Deep Learning with Python"
For Jan-Dec 2017, we compared nearly 18,000 articles about Python Programming and picked the Top 45 (0.25%).
An easy to use interactive tool for data exploration, analysis, visualization and machine learning.
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform.
Recently, while I was doing my research project on Computer Vision using Convolutional Neural Network, I found out that my 8GB RAM laptop is useless. It took me an hour to learn from just 1 epoch. Therefore, rather than spending 1500$ on a new GPU based laptop, I did it for free on Google Cloud.
Surprisingly, I have not found similar instructions on getting this set up on Google Cloud. Their Cloud Datalab product currently does not seem to run directly on a GPU enabled machine. Hope that changes soon.
TensorFlow operations form a computation graph. And while for small examples you might be able to look at the code and immediately see what is going on, larger computation graphs might not be so obvious. Visualizing the graph can help both in diagnosing issues with the computation itself, but also in understanding how certain operations in TensorFlow work and how are things put together.
We love Jupyter Notebooks, the notebook format is an effective way to construct your data narrative. But the in-browser IDE is simply feature free, and hardly provides the same incredible editing power of Atom, VS Code, Sublime or even RStudio. Because of this, the gap between data science and data engineering from a workflow perspective remains wide. Let’s shorten that gap.
Links to the best IPython and Jupyter Notebooks.
This page is a curated collection of Jupyter/IPython notebooks that are notable.
Check out this Jupyter notebook!
PixieDust now lets you turn charts into standalone web pages
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Discussion about what is a Notebook and its features. Notebooks are user development interface that are very useful for machine learning professionals.